CN114610090B - Temperature control system for triazole production based on Internet of things - Google Patents
Temperature control system for triazole production based on Internet of things Download PDFInfo
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Abstract
The invention provides a temperature control system for triazole production based on the Internet of things, which comprises: the temperature interval acquisition module is used for acquiring an optimal reaction temperature interval for producing triazole; the temperature monitoring module is used for monitoring the reaction temperature of the triazole in real time when the triazole is produced and acquiring dynamic temperature data; and the temperature control module is used for receiving the dynamic temperature data based on the Internet of things and controlling the reaction temperature of the triazole during production when the dynamic temperature data is not in the optimal reaction temperature range. The optimal reaction temperature interval for producing the triazole is determined, and the temperature monitoring and the temperature control are carried out during the production of the triazole, so that the reaction temperature is ensured to be in the optimal reaction temperature interval, and the improvement of the conversion rate and the yield of the triazole is facilitated.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to a temperature control system for triazole production based on the Internet of things.
Background
At present, generally, when the production of the triazole is carried out, the temperature of the triazole during the production needs to be manually monitored, and when the temperature is lower than the optimal reaction temperature or higher than the optimal reaction temperature, the temperature control for producing the triazole is realized through manual control;
however, the optimal reaction temperature cannot be accurately estimated in a manual mode, the error rate still exists in manual operation, manpower and material resources are consumed, and the conversion rate and the yield of the triazole production cannot be improved.
Disclosure of Invention
The invention provides a temperature control system for triazole production based on the Internet of things, which is used for ensuring that the reaction temperature is in the optimal reaction temperature range by determining the optimal reaction temperature range for producing triazole and monitoring and controlling the temperature during the production of triazole, and is beneficial to improving the conversion rate and the yield of triazole.
The invention provides a temperature control system for triazole production based on the Internet of things, which comprises:
the temperature interval acquisition module is used for acquiring an optimal reaction temperature interval for producing triazole;
the temperature monitoring module is used for monitoring the reaction temperature of the triazole in real time when the triazole is produced and acquiring dynamic temperature data;
and the temperature control module is used for receiving the dynamic temperature data based on the Internet of things and controlling the reaction temperature of the triazole during production when the dynamic temperature data is not in the optimal reaction temperature range.
Preferably, the temperature interval acquisition module of the temperature control system for triazole production based on the internet of things comprises:
the pre-experiment unit is used for carrying out a pre-experiment on the triazole according to different temperatures, and meanwhile, obtaining the reaction speed of the triazole at different temperatures;
the coordinate system establishing unit is used for establishing a two-dimensional rectangular coordinate system by taking different temperatures as a horizontal axis and taking the reaction speed of the reaction of the triazole at different temperatures as a vertical axis;
the curve acquisition unit is used for drawing a temperature-speed curve of the triazole during reaction according to the two-dimensional rectangular coordinate system;
the curve reading unit is used for reading the temperature-speed curve and determining a peak point in the temperature-speed curve and a curve change trend;
the curve reading unit is further used for determining an optimal reaction temperature according to an abscissa of a peak point in the temperature-speed curve, and meanwhile, setting an optimal reaction temperature interval for producing the triazole based on the optimal reaction temperature according to the curve variation trend.
Preferably, in the temperature control system for triazole production based on the internet of things, the temperature-speed curve is in normal distribution in the curve acquisition unit.
Preferably, a temperature control system is used in triazole production based on thing networking, the temperature control module still includes:
a threshold obtaining unit, configured to read the optimal reaction temperature interval, and determine a first temperature threshold and a second temperature threshold of the optimal reaction temperature interval, where the first temperature threshold is smaller than the second temperature threshold;
the early warning signal setting unit is used for setting a first early warning signal according to the first temperature threshold value and setting a second early warning signal according to the second temperature threshold value;
the alarm unit is used for performing first alarm operation based on the first early warning signal when the dynamic temperature data is smaller than the first temperature threshold;
and when the dynamic temperature data is larger than the second temperature threshold, performing second alarm operation based on the second early warning signal.
Preferably, a temperature control system is used in triazole production based on thing networking, alarm unit still includes:
a temperature difference data obtaining subunit, configured to determine, when the dynamic temperature data is smaller than the first temperature threshold, a first temperature difference value based on the first temperature threshold and the dynamic temperature data;
the temperature error obtaining subunit is used for obtaining an initial temperature value during the production of the triazole and determining a temperature error value between the initial temperature value and the dynamic temperature data;
the instruction generation subunit is configured to sum the first temperature difference value and the temperature error value, determine a target temperature rise value, and generate a temperature rise instruction based on the target temperature rise value;
the operation subunit is used for carrying out temperature rise operation on the temperature during the production of the triazole according to the temperature rise instruction;
the temperature difference data acquisition subunit is further used for determining a second temperature difference value based on the second temperature threshold and the dynamic temperature data when the dynamic temperature data is greater than the second temperature threshold;
the instruction generating subunit is further configured to perform subtraction on the second temperature difference value and the temperature error value, determine a target cooling value, and generate a cooling instruction based on the target cooling value;
the operation subunit is further configured to perform a cooling operation on the temperature during the production of the triazole according to the cooling instruction.
Preferably, the temperature monitoring module of the temperature control system for triazole production based on the internet of things further comprises
The reaction vessel confirmation unit is used for acquiring a reaction vessel of the triazole during production, and acquiring the shape characteristics of the reaction vessel and the target volume occupied by the raw materials required for producing the triazole in the reaction vessel;
the characteristic point confirming unit is used for confirming boundary points of the raw materials required by the production of the triazole in the reaction vessel according to the target volume occupied by the raw materials required by the production of the triazole in the reaction vessel, and meanwhile, confirming the central point of the reaction vessel according to the shape characteristics of the reaction vessel;
the temperature monitoring point setting unit is used for setting first temperature monitoring points based on boundary points of raw materials required by the triazole in the reaction vessel during production, wherein the number of the first temperature monitoring points is more than 1;
the temperature monitoring point setting unit is also used for setting second temperature monitoring points based on the central point of the reaction vessel, wherein the number of the second temperature monitoring points is equal to 1;
the model acquisition unit is used for acquiring the position relation data of the first temperature monitoring point and the second temperature monitoring point in the reaction vessel;
the model obtaining unit is also used for constructing a temperature monitoring network model when the triazole is produced based on the position relation data;
the temperature data acquisition unit is used for respectively acquiring first temperature data monitored by the first temperature monitoring point and second temperature data monitored by the second temperature monitoring point;
the temperature data acquisition unit is further configured to input the first temperature data and the second temperature data into the temperature monitoring network model for analysis, and determine measured temperature data of the triazole during production;
the recording unit is used for constructing a temperature data table based on a preset time point and the measured temperature data, recording the measured temperature data corresponding to the preset time point in the temperature data table one by one, and acquiring a recording result;
and the dynamic temperature data confirmation unit is used for determining dynamic temperature data of the reaction temperature of the triazole during production based on the recorded result.
Preferably, the temperature control system for triazole production based on the internet of things further includes:
the identification acquisition subunit is used for acquiring a target identification of the dynamic temperature data and generating a data uploading request based on the target identification;
the transmission preparation subunit is used for sending the data uploading request to a data management terminal based on the Internet of things, generating a data receiving window of the dynamic temperature data based on the data uploading request when the data management terminal receives the data uploading request, and simultaneously generating feedback information;
the transmission preparation subunit is further configured to read the feedback information, determine a data uploading format, and adjust the dynamic temperature data based on the data uploading format;
the data transmission subunit is used for transmitting the adjusted dynamic temperature data to the data management terminal through the data receiving window for data storage based on the internet of things;
the data updating unit is used for judging whether the dynamic temperature data at the current moment is consistent with the dynamic temperature data at the previous moment or not based on the data storage result;
when the dynamic temperature data are inconsistent, updating the dynamic temperature data at the previous moment in real time based on the dynamic temperature data at the current moment;
otherwise, no update is performed.
Preferably, the temperature control system for triazole production based on the internet of things comprises:
the temperature acquisition subunit is used for acquiring the monitored measured temperature data of the triazole at preset time points and determining a specific numerical value corresponding to the measured temperature data of the triazole at each preset time point;
and the verification subunit is used for verifying the measured temperature data of the triazole at each preset time point through the specific numerical values based on a preset rule, and rejecting abnormal measured temperature data to obtain the dynamic temperature data of the triazole.
Preferably, the temperature control system for triazole production based on the internet of things further comprises:
the data reading unit is used for reading the dynamic temperature data, and when the dynamic temperature data is not in the optimal reaction temperature interval, the dynamic temperature data is used as target temperature data;
the video data acquisition unit is used for generating an interactive signal based on the target temperature data and simultaneously calling current video data of the triazole during production based on the Internet of things according to the interactive signal;
the video data reading unit is used for reading the current video data, determining the current production information of the triazole, and meanwhile determining the current production amount of the triazole according to the production information of the triazole;
a comparison unit, configured to obtain a target production amount, where the production amount of triazole is less than or equal to the target production amount, and compare the current production amount of triazole with the target yield;
the processing unit is used for generating a first processing scheme based on the Internet of things when the current production of the triazole is equal to the target production;
simultaneously, stopping producing the triazole based on the first treatment scheme;
the processing unit is further used for acquiring a target difference between the target production amount and the current production amount of the triazole when the current production amount of the triazole is smaller than the target production amount;
determining a second processing scheme according to the target difference;
and controlling the reaction temperature during the production of the triazole based on the second treatment scheme.
Preferably, the temperature control system for triazole production based on the internet of things further comprises:
the visual display unit is used for carrying out data visual display on the dynamic temperature data at a target mobile terminal through the Internet of things;
a control instruction generating unit, configured to send, based on a display result, a control instruction to a control workshop where the triazole is produced based on the internet of things through the target mobile terminal when the dynamic temperature data is not in the optimal reaction temperature interval;
and the data interaction unit is used for receiving the control instruction based on the control workshop, controlling the temperature of the triazole during production according to the control instruction, and feeding back a control result to the target mobile terminal based on the Internet of things to complete data interaction.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a structural diagram of a temperature control system for triazole production based on the Internet of things in the embodiment of the invention;
FIG. 2 is a structural diagram of a temperature interval acquisition module in a temperature control system for triazole production based on the Internet of things in the embodiment of the invention;
FIG. 3 is a structural diagram of a temperature control module in a temperature control system for triazole production based on the Internet of things in the embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
The embodiment provides a temperature control system for triazole production based on the internet of things, as shown in fig. 1, includes:
the temperature interval acquisition module is used for acquiring an optimal reaction temperature interval for producing triazole;
the temperature monitoring module is used for monitoring the reaction temperature of the triazole in real time when the triazole is produced and acquiring dynamic temperature data;
and the temperature control module is used for receiving the dynamic temperature data based on the Internet of things and controlling the reaction temperature of the triazole during production when the dynamic temperature data is not in the optimal reaction temperature range.
In this embodiment, the optimal reaction temperature interval may be an optimal temperature for producing triazole, in which the conversion rate and efficiency for producing triazole are improved, wherein the optimal reaction temperature interval may be determined according to a theoretical optimal reaction temperature value for producing triazole, and the optimal reaction temperature interval may be, for example: the theoretical optimum reaction temperature value is. + -. 2 ℃.
In this embodiment, the dynamic temperature data is reaction temperature data of the triazole monitored by the temperature monitoring module during the production of the triazole, and the dynamic temperature data should fluctuate within an optimal reaction temperature interval.
The beneficial effects of the above technical scheme are: the optimal reaction temperature range for producing the triazole is determined, and the temperature monitoring and the temperature control are carried out during the production of the triazole, so that the reaction temperature is ensured to be in the optimal reaction temperature range, and the improvement of the conversion rate and the yield of the triazole is facilitated.
Example 2:
on the basis of embodiment 1, this embodiment provides a temperature control system for triazole production based on the internet of things, as shown in fig. 2, the temperature interval obtaining module includes:
the pre-experiment unit is used for carrying out a pre-experiment on the triazole according to different temperatures, and meanwhile, obtaining the reaction speed of the triazole at different temperatures;
the coordinate system establishing unit is used for establishing a two-dimensional rectangular coordinate system by taking different temperatures as horizontal axes and taking the reaction speed of the reaction of the triazole at different temperatures as a vertical axis;
the curve acquisition unit is used for drawing a temperature-speed curve of the triazole during reaction according to the two-dimensional rectangular coordinate system;
the curve reading unit is used for reading the temperature-speed curve and determining a peak point in the temperature-speed curve and a curve change trend;
the curve reading unit is further used for determining an optimal reaction temperature according to the abscissa of the peak point in the temperature-speed curve, and meanwhile, setting an optimal reaction temperature interval for producing the triazole based on the optimal reaction temperature according to the curve variation trend.
In this example, the preliminary experiment may be to simulate the reaction rate of triazole at different temperatures.
In this embodiment, the peak point may be the point at which the triazole reacts most rapidly at different temperatures used in pre-training.
In this example, the temperature-velocity curve exhibits a normal distribution.
The beneficial effects of the above technical scheme are: the temperature is taken as an abscissa and the reaction speed is taken as an ordinate, so that the reaction speeds of the triazole at different temperatures are recorded, the optimal reaction temperature range of the triazole is determined, and the improvement of the reaction rate of the triazole is guaranteed.
Example 3:
on the basis of embodiment 1, the embodiment provides a temperature control system for triazole production based on the internet of things, and as shown in fig. 3, the temperature control module further includes:
a threshold obtaining unit, configured to read the optimal reaction temperature interval, and determine a first temperature threshold and a second temperature threshold of the optimal reaction temperature interval, where the first temperature threshold is smaller than the second temperature threshold;
the early warning signal setting unit is used for setting a first early warning signal according to the first temperature threshold value and setting a second early warning signal according to the second temperature threshold value;
the alarm unit is used for performing first alarm operation based on the first early warning signal when the dynamic temperature data is smaller than the first temperature threshold;
and when the dynamic temperature data is larger than the second temperature threshold, performing second alarm operation based on the second early warning signal.
In this embodiment, the first temperature threshold and the second temperature threshold respectively represent an upper limit and a lower limit of the optimal reaction temperature range.
In this embodiment, the first warning signal may be a warning signal set according to a lower limit value of the optimal reaction temperature, and the first warning signal is generated when the reaction temperature is less than a first temperature threshold.
In this embodiment, the first alarm operation may be an alarm action taken when the reaction temperature is less than the first temperature threshold, such as but not limited to a buzzer alarm.
In this embodiment, the second warning signal may be a warning signal set according to an upper limit of the optimal reaction temperature, and the second warning signal is generated when the reaction temperature is greater than a second temperature threshold.
In this embodiment, the second warning operation may be a warning measure taken when the reaction temperature is greater than the second temperature threshold, such as but not limited to a light warning.
The beneficial effects of the above technical scheme are: the reaction temperature of the triazole can be controlled in the optimal reaction temperature range by determining the first temperature threshold and the second temperature threshold of the optimal reaction temperature range, and the reaction rate and the reaction effect of the triazole are improved.
Example 4:
on the basis of embodiment 3, this embodiment provides a temperature control system for triazole production based on the internet of things, and the alarm unit further includes:
a temperature difference data obtaining subunit, configured to determine, when the dynamic temperature data is smaller than the first temperature threshold, a first temperature difference value based on the first temperature threshold and the dynamic temperature data;
the temperature error acquisition subunit is used for acquiring an initial temperature value during the production of the triazole and determining a temperature error value between the initial temperature value and the dynamic temperature data;
the instruction generation subunit is configured to sum the first temperature difference value and the temperature error value, determine a target temperature rise value, and generate a temperature rise instruction based on the target temperature rise value;
the operation subunit is used for carrying out temperature rise operation on the temperature during the production of the triazole according to the temperature rise instruction;
the temperature difference data acquisition subunit is further used for determining a second temperature difference value based on the second temperature threshold and the dynamic temperature data when the dynamic temperature data is greater than the second temperature threshold;
the instruction generating subunit is further configured to perform subtraction on the second temperature difference value and the temperature error value, determine a target cooling value, and generate a cooling instruction based on the target cooling value;
the operation subunit is further configured to perform a cooling operation on the temperature during the production of triazole according to the cooling instruction.
In this embodiment, the first temperature difference value may be a difference between the dynamic temperature data and the first temperature threshold, i.e. a value of the dynamic temperature data smaller than the lower limit value of the optimal temperature reaction interval.
In this embodiment, the initial temperature value may be the initial temperature at which the triazole has not been produced.
In this embodiment, the second temperature difference value may be a difference value between the dynamic temperature data and the second temperature threshold, that is, a value of the dynamic temperature data greater than the upper limit value of the optimal temperature response interval.
The beneficial effects of the above technical scheme are: the temperature values of heating and cooling the current reaction temperature are respectively determined when the temperature is smaller than the first temperature threshold and larger than the second temperature threshold, so that the current reaction temperature can be accurately controlled within the optimal reaction temperature, and the reaction rate and the yield of the triazole are improved.
Example 5:
on the basis of embodiment 1, the embodiment provides a temperature control system for triazole production based on the internet of things, and the temperature monitoring module further comprises
The reaction vessel confirmation unit is used for acquiring a reaction vessel of the triazole during production, and acquiring the shape characteristics of the reaction vessel and the target volume occupied by the raw materials required for producing the triazole in the reaction vessel;
the characteristic point confirming unit is used for confirming boundary points of the raw materials required by the production of the triazole in the reaction vessel according to the target volume occupied by the raw materials required by the production of the triazole in the reaction vessel, and meanwhile, confirming the central point of the reaction vessel according to the shape characteristics of the reaction vessel;
the temperature monitoring point setting unit is used for setting first temperature monitoring points based on boundary points of raw materials required by the production of the triazole in the reaction vessel, wherein the number of the first temperature monitoring points is more than 1;
the temperature monitoring point setting unit is also used for setting a second temperature monitoring point based on the central point of the reaction vessel, wherein the number of the second temperature monitoring points is equal to 1;
the model acquisition unit is used for acquiring the position relation data of the first temperature monitoring point and the second temperature monitoring point in the reaction vessel;
the model obtaining unit is also used for constructing a temperature monitoring network model when the triazole is produced based on the position relation data;
the temperature data acquisition unit is used for respectively acquiring first temperature data monitored by the first temperature monitoring point and second temperature data monitored by the second temperature monitoring point;
the temperature data acquisition unit is further configured to input the first temperature data and the second temperature data into the temperature monitoring network model for analysis, and determine measured temperature data of the triazole during production;
the recording unit is used for constructing a temperature data table based on a preset time point and the measured temperature data, recording the measured temperature data corresponding to the preset time point in the temperature data table one by one, and acquiring a recording result;
and the dynamic temperature data confirmation unit is used for determining dynamic temperature data of the reaction temperature of the triazole during production based on the recorded result.
In this embodiment, the shape of the reaction vessel may be characterized by the reaction vessel being cylindrical, diamond shaped, hemispherical, etc.
In this embodiment, the target volume may be based on the volume of the reaction vessel occupied by the raw materials required in the production of triazole.
In this embodiment, the boundary point may be a point occupied by the raw materials at the top edge of the reaction vessel when the triazole is produced.
In this embodiment, the first monitoring points may be set according to boundary points, and the number of the boundary points of the raw materials required by the triazole in the reaction vessel during production is the same as the number of the first monitoring points.
In this embodiment, the positional relationship data may be distance data of each boundary point from the center point, and relative height data of each boundary point from the center point, and the like.
In this embodiment, the temperature monitoring network model may be a physical model constructed according to the positional relationship data, and is used to analyze and monitor temperature data during the production of triazole.
In this embodiment, the first temperature data may be temperature data obtained by monitoring the temperature according to a first temperature monitoring point, and the first temperature data is multiple, and each first temperature data is not necessarily equal to each other.
In this embodiment, the second temperature data may be temperature data obtained by monitoring the temperature according to the second temperature monitoring point, and the second temperature data is not necessarily equal to the first temperature data.
In this embodiment, the preset time point may be 1 point, 2 points, etc., which are set in advance and used for providing recording parameters when constructing the temperature data table.
The beneficial effects of the above technical scheme are: the first temperature data and the second temperature data are obtained by determining the first temperature monitoring point and the second temperature monitoring point, and the structural characteristics of the temperature monitoring network model are combined, so that the temperature data of the triazole during production at each time point is objectively and reasonably analyzed, the dynamic temperature data of the reaction temperature of the triazole can be accurately obtained by generating a temperature data table, and the temperature monitoring efficiency and the monitoring accuracy of the triazole during production are improved.
Example 6:
on the basis of embodiment 5, this embodiment provides a temperature control system for triazole production based on the internet of things, and the dynamic temperature data confirmation unit further includes:
the identification acquisition subunit is used for acquiring a target identification of the dynamic temperature data and generating a data uploading request based on the target identification;
the transmission preparation subunit is used for sending the data uploading request to a data management terminal based on the internet of things, generating a data receiving window of the dynamic temperature data based on the data uploading request when the data management terminal receives the data uploading request, and simultaneously generating feedback information;
the transmission preparation subunit is further configured to read the feedback information, determine a data uploading format, and adjust the dynamic temperature data based on the data uploading format;
the data transmission subunit is used for transmitting the adjusted dynamic temperature data to the data management terminal through the data receiving window for data storage based on the Internet of things;
the data updating unit is used for judging whether the current dynamic temperature data is consistent with the previous dynamic temperature data or not based on the data storage result;
when the dynamic temperature data are inconsistent, updating the dynamic temperature data at the previous moment in real time based on the dynamic temperature data at the current moment;
otherwise, no update is performed.
In this embodiment, the target identifier may be used to mark different dynamic temperature data, so as to quickly and accurately determine the type attribute of the dynamic temperature data according to the target identifier.
In this embodiment, the data reception window may be used to receive dynamic temperature data.
In this embodiment, the feedback information may be a request including receiving dynamic temperature data, such as a data upload format.
The beneficial effects of the above technical scheme are: by determining the attribute information of the dynamic temperature data, the uploading format of the dynamic temperature data is accurately confirmed, and the dynamic temperature data is conveniently and effectively uploaded to the corresponding storage position, so that convenience and guarantee are provided for ensuring quick and effective reaction of triazole.
Example 7:
on the basis of embodiment 5, the embodiment provides a temperature control system for triazole production based on the internet of things, and the recording unit includes:
the temperature acquisition subunit is used for acquiring the monitored measured temperature data of the triazole at preset time points and determining a specific numerical value corresponding to the measured temperature data of the triazole at each preset time point;
and the verification subunit is used for verifying the measured temperature data of the triazole at each preset time point through the specific numerical values based on a preset rule, and rejecting abnormal measured temperature data to obtain the dynamic temperature data of the triazole.
In this embodiment, the specific value may be a temperature value corresponding to the acquired temperature, for example, 30 degrees celsius, or the like.
In this embodiment, the preset rule is set in advance, for example, the fluctuation interval of the triazole reaction temperature may be determined by historical data, so as to screen the collected temperature according to the fluctuation interval.
In this embodiment, the abnormal measured temperature data may be temperature data that is too high or too low in temperature.
The beneficial effects of the above technical scheme are: the acquired measured temperature data are screened, so that the accuracy and reliability of finally obtained dynamic temperature data are ensured, and the strictness and accuracy of temperature monitoring and temperature control during triazole production are improved.
Example 8:
on the basis of embodiment 1, this embodiment provides a temperature control system for triazole production based on the internet of things, and the temperature control module further includes:
the data reading unit is used for reading the dynamic temperature data, and when the dynamic temperature data is not in the optimal reaction temperature interval, the dynamic temperature data is used as target temperature data;
the video data acquisition unit is used for generating an interactive signal based on the target temperature data and simultaneously calling current video data of the triazole during production based on the Internet of things according to the interactive signal;
the video data reading unit is used for reading the current video data, determining the current production information of the triazole, and meanwhile determining the current production amount of the triazole according to the production information of the triazole;
the comparison unit is used for acquiring target production, the production of the triazole is less than or equal to the target production, and meanwhile, the current production of the triazole is compared with the target yield;
the processing unit is used for generating a first processing scheme based on the Internet of things when the production of the triazole is equal to the target production;
simultaneously, stopping producing the triazole based on the first treatment scheme;
the processing unit is further used for acquiring a target difference between the target production amount and the current production amount of the triazole when the current production amount of the triazole is smaller than the target production amount;
determining a second processing scheme according to the target difference;
and controlling the reaction temperature during the production of the triazole based on the second treatment scheme.
In this embodiment, the target temperature data may be a rename of the target temperature data when the dynamic temperature data is not in the optimal reaction temperature interval.
In this embodiment, the production information may be the yield and production rate of triazole.
In this embodiment, the target production volume may be a quantity to be produced that is planned in advance.
In this embodiment, the target delta may be the difference between the current throughput and the expected throughput.
In this example, the first treatment recipe is a recipe for stopping the production of triazole.
In this embodiment, the second processing scheme may be a scheme for controlling the reaction temperature when the triazole is produced.
The beneficial effects of the above technical scheme are: the relation between the current production of the triazole and the target production is determined, so that the current production of the triazole is effectively controlled, and the production efficiency and the production of the triazole are effectively controlled.
Example 9:
on the basis of embodiment 1, this embodiment provides a temperature control system for triazole production based on the internet of things, and the temperature control module further includes:
the visual display unit is used for carrying out data visual display on the dynamic temperature data at the target mobile terminal through the Internet of things;
a control instruction generating unit, configured to send, based on a display result, a control instruction to a control workshop where the triazole is produced based on the internet of things through the target mobile terminal when the dynamic temperature data is not in the optimal reaction temperature interval;
and the data interaction unit is used for receiving the control instruction based on the control workshop, controlling the temperature of the triazole during production according to the control instruction, and feeding back a control result to the target mobile terminal based on the Internet of things to complete data interaction.
In this embodiment, the target mobile terminal may be an ipad, a mobile phone, or the like.
In this embodiment, the control instruction may be an instruction for controlling the temperature of triazole during production, and includes a temperature increase instruction or a temperature decrease instruction.
In this embodiment, the control result may be a result of controlling the temperature at the time of producing triazole based on the control instruction.
In this embodiment, the control workshop may implement temperature control on triazole production after receiving the control instruction.
The beneficial effects of the above technical scheme are: through carrying out visual display to dynamic data based on internet of things, be favorable to improving and control the temperature for the triazole production, interact control command and control workshop through the internet of things, improved temperature control's intellectuality.
Example 10:
on the basis of embodiment 1, the temperature control module further includes:
the coefficient acquisition unit is used for acquiring a temperature capacity coefficient of the triazole during production reaction and determining the airflow momentum of the triazole during production reaction;
the first calculation unit is used for calculating the temperature change rate of the triazole during the production reaction based on the temperature capacity coefficient of the triazole during the production and the air flow amount during the reaction of the triazole;
wherein V represents the temperature change rate of the triazole during the production reaction; zeta represents the temperature capacity coefficient of the triazole during production, and the value range is (0.98, 1.02); k represents the air flow rate of the triazole during the production reaction; gamma 1 The production temperature of the triazole during the production reaction is shown; q represents the heat dissipation capacity of the triazole during production reaction; gamma 2 The temperature inside a reaction vessel is shown when the triazole is produced; gamma 3 Representing the ambient temperature of the triazole during production; λ represents the specific heat of air; mu represents the thermal resistance coefficient of the constant temperature structure of the reaction vessel when the triazole is used for production reaction, and the value range is (1.03, 1.06); tau meterShowing the time required by the triazole during the production reaction;
the second calculation unit is used for constructing a constant temperature control model of the triazole during the production reaction based on the temperature change rate of the triazole during the production reaction and the optimal reaction temperature interval;
phi represents a constant temperature control model of the triazole during production reaction; ξ represents the time constant of the triazole during the reaction; ρ is a unit of a gradient 2 A maximum temperature value representing the optimal reaction temperature interval; rho 1 A minimum temperature value representing the optimal reaction temperature interval;
and the control unit is used for controlling the temperature of the triazole during production based on the constant temperature control model.
In this embodiment, the temperature capacity coefficient may be, for example, air thermal storage within the reaction chamber and thermal storage at the surface of the equipment and maintenance structure.
In this embodiment, the pairs and
because the temperature difference exists between the production temperature of the triazole during the production reaction and the temperature inside the reaction vessel and the ambient temperature of the triazole during the production, the difference between the two temperatures is subtracted, and the temperature heat transfer quantity of the triazole during the production is calculated.
The beneficial effects of the above technical scheme are: the constant temperature control model of the triazole during the production reaction is effectively constructed by determining the temperature change rate of the triazole during the production reaction, and further the accurate control of the temperature of the triazole during the production is realized.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides a temperature control system is used in triazole production based on thing networking which characterized in that includes:
the temperature interval acquisition module is used for acquiring an optimal reaction temperature interval for producing triazole;
the temperature monitoring module is used for monitoring the reaction temperature of the triazole in real time when the triazole is produced and acquiring dynamic temperature data;
the temperature control module is used for receiving the dynamic temperature data based on the Internet of things and controlling the reaction temperature of the triazole during production when the dynamic temperature data is not in the optimal reaction temperature range;
the temperature monitoring module further comprises:
the reaction vessel confirmation unit is used for acquiring a reaction vessel of the triazole during production, and acquiring the shape characteristics of the reaction vessel and the target volume occupied by the raw materials required for producing the triazole in the reaction vessel;
the characteristic point confirming unit is used for confirming boundary points of the raw materials required by the production of the triazole in the reaction vessel according to the target volume occupied by the raw materials required by the production of the triazole in the reaction vessel, and meanwhile, confirming the central point of the reaction vessel according to the shape characteristics of the reaction vessel;
the temperature monitoring point setting unit is used for setting first temperature monitoring points based on boundary points of raw materials required by the triazole in the reaction vessel during production, wherein the number of the first temperature monitoring points is more than 1;
the temperature monitoring point setting unit is also used for setting a second temperature monitoring point based on the central point of the reaction vessel, wherein the number of the second temperature monitoring points is equal to 1;
the model acquisition unit is used for acquiring the position relation data of the first temperature monitoring point and the second temperature monitoring point in the reaction vessel;
the model obtaining unit is also used for constructing a temperature monitoring network model when the triazole is produced based on the position relation data;
the temperature data acquisition unit is used for respectively acquiring first temperature data monitored by the first temperature monitoring point and second temperature data monitored by the second temperature monitoring point;
the temperature data acquisition unit is further configured to input the first temperature data and the second temperature data into the temperature monitoring network model for analysis, and determine measured temperature data of the triazole during production;
the recording unit is used for constructing a temperature data table based on a preset time point and the measured temperature data, recording the measured temperature data corresponding to the preset time point in the temperature data table one by one, and acquiring a recording result;
and the dynamic temperature data confirmation unit is used for determining dynamic temperature data of the reaction temperature of the triazole during production based on the recorded result.
2. The temperature control system for triazole production based on the internet of things according to claim 1, wherein the temperature interval obtaining module comprises:
the pre-experiment unit is used for carrying out a pre-experiment on the triazole according to different temperatures, and meanwhile, obtaining the reaction speed of the triazole at different temperatures;
the coordinate system establishing unit is used for establishing a two-dimensional rectangular coordinate system by taking different temperatures as a horizontal axis and taking the reaction speed of the reaction of the triazole at different temperatures as a vertical axis;
the curve acquisition unit is used for drawing a temperature-speed curve of the triazole during reaction according to the two-dimensional rectangular coordinate system;
the curve reading unit is used for reading the temperature-speed curve and determining a peak point in the temperature-speed curve and a curve change trend;
the curve reading unit is further used for determining an optimal reaction temperature according to the abscissa of the peak point in the temperature-speed curve, and meanwhile, setting an optimal reaction temperature interval for producing the triazole based on the optimal reaction temperature according to the curve variation trend.
3. The temperature control system for triazole production based on the internet of things according to claim 2, wherein in the curve acquisition unit, the temperature-speed curve is in normal distribution.
4. The temperature control system for triazole production based on the Internet of things of claim 1, wherein the temperature control module further comprises:
a threshold obtaining unit, configured to read the optimal reaction temperature interval, and determine a first temperature threshold and a second temperature threshold of the optimal reaction temperature interval, where the first temperature threshold is smaller than the second temperature threshold;
the early warning signal setting unit is used for setting a first early warning signal according to the first temperature threshold value and setting a second early warning signal according to the second temperature threshold value;
the alarm unit is used for performing first alarm operation based on the first early warning signal when the dynamic temperature data is smaller than the first temperature threshold;
and when the dynamic temperature data is larger than the second temperature threshold, performing second alarm operation based on the second early warning signal.
5. The temperature control system for triazole production based on the internet of things according to claim 4, wherein the alarm unit further comprises:
a temperature difference data obtaining subunit, configured to determine, when the dynamic temperature data is smaller than the first temperature threshold, a first temperature difference value based on the first temperature threshold and the dynamic temperature data;
the temperature error obtaining subunit is used for obtaining an initial temperature value during the production of the triazole and determining a temperature error value between the initial temperature value and the dynamic temperature data;
the instruction generation subunit is configured to sum the first temperature difference value and the temperature error value, determine a target temperature rise value, and generate a temperature rise instruction based on the target temperature rise value;
the operation subunit is used for carrying out temperature rise operation on the temperature during the production of the triazole according to the temperature rise instruction;
the temperature difference data acquisition subunit is further used for determining a second temperature difference value based on the second temperature threshold and the dynamic temperature data when the dynamic temperature data is greater than the second temperature threshold;
the instruction generating subunit is further configured to perform subtraction on the second temperature difference value and the temperature error value, determine a target cooling value, and generate a cooling instruction based on the target cooling value;
the operation subunit is further configured to perform a cooling operation on the temperature during the production of the triazole according to the cooling instruction.
6. The temperature control system for triazole production based on the internet of things according to claim 1, wherein the dynamic temperature data confirmation unit further comprises:
the identification acquisition subunit is used for acquiring a target identification of the dynamic temperature data and generating a data uploading request based on the target identification;
the transmission preparation subunit is used for sending the data uploading request to a data management terminal based on the internet of things, generating a data receiving window of the dynamic temperature data based on the data uploading request when the data management terminal receives the data uploading request, and simultaneously generating feedback information;
the transmission preparation subunit is further configured to read the feedback information, determine a data uploading format, and adjust the dynamic temperature data based on the data uploading format;
the data transmission subunit is used for transmitting the adjusted dynamic temperature data to the data management terminal through the data receiving window for data storage based on the internet of things;
the data updating unit is used for judging whether the current dynamic temperature data is consistent with the previous dynamic temperature data or not based on the data storage result;
when the dynamic temperature data are inconsistent, updating the dynamic temperature data at the previous moment in real time based on the dynamic temperature data at the current moment;
otherwise, no update is performed.
7. The temperature control system for triazole production based on the internet of things according to claim 1, wherein the recording unit comprises:
the temperature acquisition subunit is used for acquiring the monitored measured temperature data of the triazole at preset time points and determining a specific numerical value corresponding to the measured temperature data of the triazole at each preset time point;
and the verification subunit is used for verifying the measured temperature data of the triazole at each preset time point through the specific numerical values based on a preset rule, and rejecting abnormal measured temperature data to obtain the dynamic temperature data of the triazole.
8. The temperature control system for triazole production based on the Internet of things of claim 1, wherein the temperature control module further comprises:
the data reading unit is used for reading the dynamic temperature data, and when the dynamic temperature data is not in the optimal reaction temperature interval, the dynamic temperature data is used as target temperature data;
the video data acquisition unit is used for generating an interactive signal based on the target temperature data and simultaneously calling current video data of the triazole during production based on the Internet of things according to the interactive signal;
the video data reading unit is used for reading the current video data, determining the current production information of the triazole, and meanwhile determining the current production amount of the triazole according to the production information of the triazole;
a comparison unit, configured to obtain a target production amount, where the production amount of triazole is less than or equal to the target production amount, and compare the current production amount of triazole with the target yield;
the processing unit is used for generating a first processing scheme based on the Internet of things when the production of the triazole is equal to the target production;
simultaneously, stopping producing the triazole based on the first treatment scheme;
the processing unit is further used for obtaining a target difference between the target production amount and the current production amount of the triazole when the current production amount of the triazole is smaller than the target production amount;
determining a second processing scheme according to the target difference;
and controlling the reaction temperature of the triazole during production based on the second treatment scheme.
9. The temperature control system for triazole production based on the internet of things according to claim 1, wherein the temperature control module further comprises:
the visual display unit is used for carrying out data visual display on the dynamic temperature data at a target mobile terminal through the Internet of things;
a control instruction generating unit, configured to send, based on a display result, a control instruction to a control workshop where the triazole is produced based on the internet of things through the target mobile terminal when the dynamic temperature data is not in the optimal reaction temperature interval;
and the data interaction unit is used for receiving the control instruction based on the control workshop, controlling the temperature of the triazole during production according to the control instruction, and feeding back a control result to the target mobile terminal based on the Internet of things to complete data interaction.
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